Elevation effect on TVDI-based soil moisture retrieval algorithm using MODIS LST and NDVI products

Young-Joo Kwon; Hyunju Ban; Sungwook Hong

doi:10.1117/12.2278020

2 November 2017 Elevation effect on TVDI-based soil moisture retrieval algorithm using MODIS LST and NDVI products

Young-Joo Kwon, Hyunju Ban, Sungwook Hong

Proceedings Volume 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX; 104210U (2017) https://doi.org/10.1117/12.2278020
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

Generally, soil moisture plays an important role in water cycle, water resources and other diverse applications over land. Passive microwave remote sensors (e.g., ASCAT, AMSR-E, SMOS, and SMAP) have successfully used for estimating the amount of soil moisture irrespective of their low temporal and special resolutions. In this study, we present a TVDI (temperature-vegetation dryness index)-based soil moisture retrieval algorithm based on visible and infrared remote sensors. The TERRA/MODIS products such LST (MOD11A2) and NDVI (MOD13A2) data were used. Far-East Asia area including the Korean peninsula were investigated for the case study. In particular, we found the elevation dependence on the soil moisture retrieval. We developed a correction method for this elevation effect. The proposed TVDI-based soil moisture algorithm in visible and infrared bands were compared and validated with soil moisture contents estimated from GCOM-W1/AMSR-2 observations in microwave bands.

Conference Presentation

Citation Download Citation

Young-Joo Kwon, Hyunju Ban, and Sungwook Hong "Elevation effect on TVDI-based soil moisture retrieval algorithm using MODIS LST and NDVI products", Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104210U (2 November 2017); https://doi.org/10.1117/12.2278020

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